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Clarify links to code and checkpoints

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  1. README.md +13 -15
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@@ -7,25 +7,23 @@ task_categories:
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  # Generative Embedding Benchmark
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- <div align="center">
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- <a href="https://huggingface.co/datasets/LimitedMouse/Generative-Embedding-Benchmark"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-blue" alt="Hugging Face Dataset"></a>
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- <a href="https://github.com/LimitedMouse/Generative-Embedding-Benchmark"><img src="https://img.shields.io/badge/GitHub-Code-lightgrey" alt="GitHub Code"></a>
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- </div>
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-
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  This repository publishes the fixed membership and provenance metadata for the
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  Generative Embedding Benchmark (GEB). GEB contains 1,800 development questions
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- and 900 held-out test questions, balanced across natural images, scene text, and
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- visual documents.
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  GEB evaluates how much answer-relevant visual information a dense embedding
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- makes accessible to a generative decoder. See the
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- [code repository](https://github.com/LimitedMouse/Generative-Embedding-Benchmark)
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- for installation instructions and the evaluation pipeline.
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-
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- The dataset does not redistribute source images, questions, or answers. The GEB
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- task definitions load the eight original public datasets through `lmms-eval` and
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- filter them with `dev.json` or `test.json`. Original datasets remain subject to
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- their own licenses and access requirements.
 
 
 
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  ## Files
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  # Generative Embedding Benchmark
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  This repository publishes the fixed membership and provenance metadata for the
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  Generative Embedding Benchmark (GEB). GEB contains 1,800 development questions
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+ and 900 held-out test questions spanning natural images, scene text, and visual
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+ documents.
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  GEB evaluates how much answer-relevant visual information a dense embedding
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+ makes accessible to a generative decoder. The
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+ [GitHub repository](https://github.com/LimitedMouse/Generative-Embedding-Benchmark)
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+ is the main entry point for installation, training, and evaluation. Official
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+ Qwen3-VL-Embedding-2B/8B decoder weights are provided in the
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+ [checkpoint repository](https://huggingface.co/LimitedMouse/Generative-Embedding-Benchmark-Checkpoints).
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+
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+ This dataset repository does not redistribute source images, questions,
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+ answers, or decoder training data. GEB task definitions load the eight original
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+ public evaluation datasets through `lmms-eval` and filter them with `dev.json`
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+ or `test.json`. The source datasets remain subject to their own licenses and
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+ access requirements.
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  ## Files
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